What was the rationale behind applying machine learning (ML) models to improve identification probability in the absence of ...

A simple random sample is a subset of a statistical population where each member of the population is equally likely to be ...

Abstract: In practical applications, sampled-data systems are often affected by unforeseen physical constraints that may cause deviations in the sampling interval from the expected value and result in ...

Senate Democrats opposing ICE funding in a Senate vote today to avoid another government shutdown Jan. 30 at midnight has sent betting odds of a government shutdown soaring Polymarket and Kalshi as ...

Abstract: This paper researches the secrecy outage probabili-ty for the rate splitting multiple access-based integrated satellite-aerial-terrestrial networks. Specially, owing to some practical ...